Opus-mt-eo-it Open-source Translation Model - Supports Precise Translation from Esperanto to Italian

Home

Opus Mt Eo It

Developed by Helsinki-NLP

This is a Transformer-based machine translation model from Esperanto to Italian, developed by the Helsinki-NLP team.

Machine Translation

Transformers

OtherOpen Source License:Apache-2.0 #Niche language translation #Transformer architecture #SentencePiece tokenization

Downloads 18

Release Time : 3/2/2022

Model Overview

This model is specifically designed for translating Esperanto text into Italian, employing standardized preprocessing and SentencePiece tokenization techniques.

Model Features

Bilingual translation capability

Optimized specifically for high-quality translation tasks between Esperanto and Italian

Standardized preprocessing

Utilizes standardized preprocessing workflows to ensure input text consistency and quality

SentencePiece tokenization

Employs spm4k tokenizer for text processing, enhancing the model's vocabulary handling capability

Model Capabilities

Text translation from Esperanto to Italian

Processing standardized text input

Generating fluent Italian translations

Use Cases

Language learning

Esperanto learning aid

Assists Esperanto learners in understanding corresponding Italian expressions

Content localization

Document translation

Automatically translates Esperanto documents into Italian versions

🚀 epo-ita

This project focuses on the translation from Esperanto to Italian. It provides a specific model and related evaluation data.

🚀 Quick Start

This project offers a translation model from Esperanto to Italian. You can access the model's original weights, test set translations, and test set scores through the provided links.

✨ Features

Language Pair: Translates from Esperanto to Italian.
Model: Uses the transformer-align model.
Pre - processing: Applies normalization and SentencePiece (spm4k, spm4k).

📦 Installation

No specific installation steps are provided in the original document, so this section is skipped.

💻 Usage Examples

No code examples are provided in the original document, so this section is skipped.

📚 Documentation

General Information

Source Group: Esperanto
Target Group: Italian
OPUS Readme: epo - ita

Model Details

Property	Details
Model Type	transformer-align
Source Language(s)	epo
Target Language(s)	ita
Pre - processing	normalization + SentencePiece (spm4k, spm4k)
Download Original Weights	opus-2020-06-16.zip
Test Set Translations	opus-2020-06-16.test.txt
Test Set Scores	opus-2020-06-16.eval.txt

Benchmarks

testset	BLEU	chr - F
Tatoeba - test.epo.ita	23.8	0.465

System Info

hf_name: epo-ita
source_languages: epo
target_languages: ita
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ita/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['eo', 'it']
src_constituents: {'epo'}
tgt_constituents: {'ita'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm4k, spm4k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.test.txt
src_alpha3: epo
tgt_alpha3: ita
short_pair: eo-it
chrF2_score: 0.465
bleu: 23.8
brevity_penalty: 0.9420000000000001
ref_len: 67118.0
src_name: Esperanto
tgt_name: Italian
train_date: 2020-06-16
src_alpha2: eo
tgt_alpha2: it
prefer_old: False
long_pair: epo-ita
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41

🔧 Technical Details

No specific technical implementation details are provided in the original document, so this section is skipped.

📄 License

This project is licensed under the Apache - 2.0 license.

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご